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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" xml:lang="ru"><front><journal-meta><issn publication-format="print">2072-6414</issn><issn publication-format="electronic">2411-1406</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.17059/ekon.reg.2024-3-19</article-id><title-group xml:lang="en"><article-title>Forecast of Socio-Economic Consequences of SARS-CoV-2 Infection and the COVID-19 Pandemic</article-title></title-group><title-group xml:lang="ru"><article-title>Прогнозные тренды социально-экономических последствий распространения инфекции SARS-COV-2 и пандемии COVID-19</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5310-2399</contrib-id><name-alternatives><name xml:lang="en"><surname>Mabiala</surname><given-names>Gilbert</given-names></name><name xml:lang="ru"><surname>Мабиала </surname><given-names>Жильберт </given-names></name></name-alternatives><email>gilmabiala@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4266-3297</contrib-id><name-alternatives><name xml:lang="en"><surname>Sukhareva </surname><given-names>Irina A. </given-names></name><name xml:lang="ru"><surname>Сухарева </surname><given-names>Ирина Александровна </given-names></name></name-alternatives><email>sukhareva_irina@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3976-3887</contrib-id><name-alternatives><name xml:lang="en"><surname>Voloshin </surname><given-names>Aleksei I. </given-names></name><name xml:lang="ru"><surname>Волошин </surname><given-names>Алексей Иванович </given-names></name></name-alternatives><email>alexvl77@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4808-4111</contrib-id><name-alternatives><name xml:lang="en"><surname>Toropova </surname><given-names>Irina S. </given-names></name><name xml:lang="ru"><surname>Торопова  </surname><given-names>Ирина Семеновна </given-names></name></name-alternatives><email>toropova_ira@list.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">V. I. Vernadsky Crimean Federal University</institution></aff><aff><institution xml:lang="ru">Крымский федеральный университет им. В.И. Вернадского</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-09-30" publication-format="electronic"/><volume>20</volume><issue>3</issue><fpage>899</fpage><lpage>915</lpage><history><date date-type="received" iso-8601-date="2023-05-08"/><date date-type="accepted" iso-8601-date="2024-06-20"/></history><permissions><copyright-statement xml:lang="en">Copyright © 2024 Gilbert Mabiala, Irina A. Sukhareva, Aleksei I. Voloshin, Irina S. Toropova</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2024 Жильберт Мабиала, Ирина Александровна Сухарева, Алексей Иванович Волошин, Ирина Семеновна Торопова</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Gilbert Mabiala, Irina A. Sukhareva, Aleksei I. Voloshin, Irina S. Toropova</copyright-holder><copyright-holder xml:lang="ru">Жильберт Мабиала, Ирина Александровна Сухарева, Алексей Иванович Волошин, Ирина Семеновна Торопова</copyright-holder><ali:free_to_read/><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>CC BY 4.0</license-p></license></permissions><self-uri content-type="html" mimetype="text/html" xlink:title="article webpage" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/view/570">https://www.economyofregions.org/ojs/index.php/er/article/view/570</self-uri><self-uri content-type="pdf" mimetype="application/pdf" xlink:title="article pdf" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/download/570/342">https://www.economyofregions.org/ojs/index.php/er/article/download/570/342</self-uri><abstract xml:lang="en"><p>The global spread of SARS-CoV-2, the cause of COVID-19, remains a public health issue. The pandemic has resulted in approximately 563,312,528 instances of infection, endangering health and increasing the risk of unemployment and income loss for many people worldwide. The article presents a computational and graphical analysis of the effects (shocks) of SARS-CoV-2 and new variants of COVID-19 on human activity, simulates the caused socio-economic damage and forecasts the society’s socio-economic development. To this end, cases of infection, mortality and recovery in the population were analysed, forecast scenarios for the trajectory of socio-economic indicators affected by new variants of COVID-19 were substantiated. The study applied the economic and statistical method, as well as the tabular and graphical approaches to the assessment of empirical data. Analysis of the proposed quantitative model for examining the impact of the COVID-19 infection revealed the reasons for the decline in commercial activity, socio-economic stagnation and a worldwide economic recession. The pandemic-related measures have exacerbated the pre-2019 crisis, resulting in unprecedented socio-economic upheavals, an increase in global poverty from 17.1 % to 25.9 %, and an estimated damage to the world economy of more than 1,976.80 trillion roubles. Additionally, the rate of socio-economic well-being recovery have slowed from 11.8 to 6.7 months. The healthcare system will face significant challenges if the share of actively infected persons exceeds 1 %. Moreover, the 10 % infection rate will cause the malfunctioning of socio-economic infrastructure components of the world economy accompanied by macroeconomic shocks, as well as a persistent decrease in gross domestic product by 2.4 % in 2021–2022 and 4 % in 2023. This situation can exacerbate already-existing socio-economic contradictions, raise unemployment and inflation, lead to a fall in the population’s real income.</p></abstract><abstract xml:lang="ru"><p>Глобальное распространение острого респираторного синдрома SARS-CoV-2, вызывавшего COVID-19, остается чрезвычайной ситуацией в области общественного здоровья. Пандемия привела к более 563312528 случаям инфицирования, поставив под угрозу здоровье и повысив риск потери рабочего места и доходов многих людей по всему миру. Статья посвящена расчетно-графическому анализу эффектов (шоков), произошедших в сферах человеческой деятельности под влиянием синдрома SARS-CoV-2 и вспышки новых штаммов COVID-19, моделированию причиненного социально-экономического ущерба и обоснованию прогнозных трендов социально-экономического состояния общества. Достижение данной цели предполагает решение задачи анализа состояния случаев заражения, смертности и выздоровления населения и обоснования прогнозных сценариев тенденции социально-экономических показателей вследствие появления новых штаммов COVID-19. Методической основой работы явилось применение экономико-статического метода и таблично-графического подхода к количественной оценке эмпирических данных. Предложенная модель количественной оценки последствия воздействия инфекции COVID-2019 позволила выявить факторы снижения деловой активности, социально-экономической стагнации и рецессии мировой экономики. Меры, которые были применены против пандемии, усугубили кризис, существовавший до 2019 г. с беспрецедентными социально-экономическими потрясениями, ростом уровня бедности в мире с 17,1 % до 25,9 % и прогнозируемым ущербом в размере более 1976,80 трлн руб. для мировой экономики, и привели к сокращению скорости восстановления социально-экономического благосостояния с 11,8 до 6,7 месяцев. Отмечено, что когда доля активных инфицированных превысит 1 %, система здравоохранения столкнется с серьезными проблемами, а когда достигнет 10 % — возникнет дисфункция социально-экономических компонентов инфраструктур мировой экономики с макроэкономическими шоками, которые сопровождаются тенденцией снижения мирового ВВП на 2,4 % на перспективу по сравнению с 2021–2022 гг. и на 4 % в 2023 г., что обострит имеющиеся социально-экономические противоречия, рост безработицы, инфляции и приведет к падению уровня реального дохода населения.
.</p></abstract><kwd-group xml:lang="en"><kwd>SARS-CoV-2 syndrome, COVID-19 pandemic, socio-economic consequences, excel-extrapolation, forecasting, post-COVID economy, decrease in GDP</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>синдром SARS-CoV-2, пандемия COVID-2019, социально-экономические последствия, excel-экстраполирование, прогнозирование, постковидная экономика, снижение ВВП</kwd></kwd-group></article-meta></front><body/><back><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Akbulaev, N., Mammadov, I., &amp; Aliyev, V. (2020). Economic Impact of COVID-19. Sylwan, 164 (5), 113–126. https://dx.doi.org/10.2139/ssrn.3649813</mixed-citation></ref><ref id="en-ref2"><label>2</label><mixed-citation xml:lang="en">Atar, S., &amp; Atar, I. (2020). An invited commentary on “The socio-economic implications of the coronavirus and COVID-19 pandemic: A review”. 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